MapReduce Implementation of Prestack Kirchhoff Time Migration (PKTM) on Seismic Data
- Publisher:
- IEEE
- Publication Type:
- Conference
- Citation:
- Rizvandi Nikzad et al. 2011, 'MapReduce Implementation of Prestack Kirchhoff Time Migration (PKTM) on Seismic Data', , IEEE, Piscataway, USA, , pp. 86-91.
- Issue Date:
- 2011
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
![]() | 2011004566OK.pdf | 364.68 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
The oil and gas industries have been great consumers of parallel and distributed computing systems, by frequently running technical applications with intensive processing of terabytes of data. By the emergence of cloud computing which gives the opportunity to hire high-throughput computing resources with lower operational costs, such industries have started to adopt their technical applications to be executed on such high-performance commodity systems. In this paper, we first give an overview of forward/inverse Prestack Kirchhoff Time Migration (PKTM) algorithm, as one of the well-known seismic imaging algorithms. Then we will explain our proposed approach to fit this algorithm for running on Google's MapReduce framework. Toward the end, we will analyse the relation between MapReduce-based PKTM completion time and the number of mappers/reducers on pseudo-distributed MapReduce mode.
Please use this identifier to cite or link to this item: